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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Has Artificial Intelligence Impacted Drug Discovery?
Atanas Patronov, Kostas Papadopoulos, Ola Engkvist
Methods in molecular biology (2021), pp. 153-176
Closed Access | Times Cited: 19

Showing 19 citing articles:

Multi-modal molecule structure–text model for text-based retrieval and editing
Shengchao Liu, Weili Nie, Chengpeng Wang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1447-1457
Closed Access | Times Cited: 61
Generative AI as a transformative force for innovation: a review of opportunities, applications and challenges
Soraya Sedkaoui, Rafika Benaichouba
European Journal of Innovation Management (2024)
Closed Access | Times Cited: 21
Sample efficient reinforcement learning with active learning for molecular design
Michael Dodds, Jeff Guo, Thomas Löhr, et al.
Chemical Science (2024) Vol. 15, Iss. 11, pp. 4146-4160
Open Access | Times Cited: 11
MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction
Fabio Urbina, Christopher T. Lowden, Joseph Culberson, et al.
ACS Omega (2022) Vol. 7, Iss. 22, pp. 18699-18713
Open Access | Times Cited: 31
Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios
Fernando Jaume-Santero, Alban Bornet, Alain Valery, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 7, pp. 1914-1924
Open Access | Times Cited: 20
QSARtuna: An Automated QSAR Modeling Platform for Molecular Property Prediction in Drug Design
Lewis Mervin, Alexey Voronov, Mikhail A. Kabeshov, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5365-5374
Open Access | Times Cited: 8
Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments
Abdul Majeed, Seong Oun Hwang
Symmetry (2021) Vol. 14, Iss. 1, pp. 16-16
Open Access | Times Cited: 37
Human-in-the-loop assisted de novo molecular design
Iiris Sundin, Alexey Voronov, Haoping Xiao, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Prediction of Compound Plasma Concentration–Time Profiles in Mice Using Random Forest
Koichi Handa, Peter Wright, Saki Yoshimura, et al.
Molecular Pharmaceutics (2023) Vol. 20, Iss. 6, pp. 3060-3072
Open Access | Times Cited: 16
Revolutionizing drug discovery: an AI-powered transformation of molecular docking
Adeola Abraham Fadahunsi, Henrietta Onyinye Uzoeto, Nkwachukwu Oziamara Okoro, et al.
Medicinal Chemistry Research (2024)
Closed Access | Times Cited: 5
Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
Emma Tysinger, K. Brajesh, Anton V. Sinitskiy
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 6, pp. 1734-1744
Closed Access | Times Cited: 12
Prediction of multi-relational drug–gene interaction via Dynamic hyperGraph Contrastive Learning
Tao Wen, Yuansheng Liu, Xuan Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 12
The Six Ds of Exponentials and drug discovery: A path toward reversing Eroom’s law
Alexander Tropsha, Holli‐Joi Martin, Artem Cherkasov
Drug Discovery Today (2025), pp. 104341-104341
Closed Access
From traditional to data-driven medicinal chemistry: A case study
Ryo Kunimoto, Jürgen Bajorath, Kazumasa Aoki
Drug Discovery Today (2022) Vol. 27, Iss. 8, pp. 2065-2070
Closed Access | Times Cited: 11
An Automated Purification Workflow Coupled with Material-Sparing High-Throughput 1H NMR for Parallel Medicinal Chemistry
Justin Bellenger, Martin R. M. Koos, Melissa Avery, et al.
ACS Medicinal Chemistry Letters (2024) Vol. 15, Iss. 9, pp. 1635-1644
Closed Access | Times Cited: 1
Preselection of Compounds for Lead Identification in Virtual Screening Campaigns
Florencia A. Castello
Springer eBooks (2024), pp. 109-125
Closed Access | Times Cited: 1
Accelerating COVID-19 Drug Discovery with High-Performance Computing
Alexander Heifetz
Methods in molecular biology (2023), pp. 405-411
Closed Access | Times Cited: 3
A Framework for the Responsible Integration of Generative AI Tools in Learning
Stephen Ko, Simon C. H. Chan
Advances in educational technologies and instructional design book series (2024), pp. 163-194
Closed Access
Software in Computer-Aided Drug Discovery: Empowering Scientific Exploration and Innovation
Manos C. Vlasiou
BENTHAM SCIENCE PUBLISHERS eBooks (2024), pp. 103-111
Closed Access
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